An Agonist Dependent Allosteric Antagonist of Prostaglandin EP2 Receptors

变构调节 前列腺素E2受体 兴奋剂 受体 变构调节剂 化学 药理学 细胞生物学 生物化学 生物
作者
Chunxiang Jiang,Radhika Amaradhi,Thota Ganesh,Raymond Dingledine
出处
期刊:ACS Chemical Neuroscience [American Chemical Society]
卷期号:11 (10): 1436-1446 被引量:14
标识
DOI:10.1021/acschemneuro.0c00078
摘要

All reported prostaglandin EP2 receptor antagonists have a purely orthosteric, competitive mode of action. Herein, we report the characterization of compound 1 (pubchem CID 664888) as the first EP2 antagonist that features a reversible, agonist dependent allosteric mode of action. Compound 1 displayed an unsurmountable inhibition of cAMP accumulation stimulated by different EP2 agonists in C6 glioma cells overexpressing human EP2 (C6G-hEP2). The degree of reduction of agonist potency and efficacy depended on the agonist employed. Negative allosteric modulation was not observed in C6G cells overexpressing human EP4, IP, or DP1 receptors. Moreover, in the murine microglial cell line that stably expresses human EP2 receptors (BV2-hEP2), compound 1 reduced the EP2 agonist-induced elevation of interleukin 6 (IL-6), IL-1β, and hEP2 mRNA levels and increased that of tumor necrosis factor (TNF)-α. Compound 1 was docked into a homology model of hEP2. The predicted binding site on the cytoplasmic receptor surface was similar to that of allosteric inhibitors of the β2-adrenergic, CC chemokine receptor 9 (CCR9), and CC chemokine receptor 2 (CCR2) receptors, which supports the notion of a conserved G-protein-coupled receptor (GPCR) binding pocket for allosteric inhibitors. As the first agonist dependent negative allosteric modulator of EP2 receptor, the structure of this compound may provide a basis for developing improved allosteric modulators of EP2 receptors.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
刚刚
无极微光应助科研通管家采纳,获得20
刚刚
1秒前
天天快乐应助科研通管家采纳,获得10
1秒前
李健应助科研通管家采纳,获得10
1秒前
张春达发布了新的文献求助10
1秒前
1秒前
星辰大海应助科研通管家采纳,获得10
1秒前
Gyeong发布了新的文献求助10
1秒前
慕青应助科研通管家采纳,获得10
1秒前
1秒前
大模型应助LKX采纳,获得10
2秒前
宋仁君完成签到,获得积分10
2秒前
CipherSage应助科研通管家采纳,获得10
2秒前
2秒前
慕青应助赵苏州采纳,获得10
2秒前
2秒前
2秒前
梅话ee发布了新的文献求助10
2秒前
2秒前
2秒前
3秒前
兴奋不平完成签到,获得积分10
3秒前
小熊同学发布了新的文献求助10
3秒前
科研通AI6.2应助顺利墨镜采纳,获得10
3秒前
ding应助清新的炎彬采纳,获得10
3秒前
4秒前
深情安青应助yzzzz采纳,获得10
4秒前
xiongyu完成签到,获得积分10
4秒前
Yifan完成签到,获得积分10
4秒前
柒7完成签到,获得积分10
4秒前
落寞自中发布了新的文献求助10
4秒前
虚幻碧蓉完成签到 ,获得积分10
4秒前
酷波er应助sss采纳,获得10
5秒前
5秒前
5秒前
5秒前
哦no完成签到 ,获得积分10
5秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 500
Moody's Ratings Rising AI spending narrows the gap, but US hyperscalers retain edge over Chinese peers 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7696681
求助须知:如何正确求助?哪些是违规求助? 9256787
关于积分的说明 20004627
捐赠科研通 7271152
什么是DOI,文献DOI怎么找? 3292836
关于科研通互助平台的介绍 2448408
邀请新用户注册赠送积分活动 2298576